Senior GCP ML Engineer

Role : AI / ML Architect

Location : Tarrytown NY 10591 (100% Onsite)

Role Overview :

We are seeking a visionary and hands-on Machine Learning & Generative AI Architect to lead the design, development, and deployment of cutting-edge AI / ML and GenAI solutions in the healthcare and biotech domain. The ideal candidate will have deep expertise in transformer-based architecture, generative models (LLMs, GANs, Diffusion Models), and MLOps, with a strong understanding of regulatory compliance (e.g., HIPAA) and healthcare data systems.

Key Responsibilities :

Generative AI & LLMs

• Architect and implement transformer-based generative models tailored for biomedical data, optimizing training pipelines for domain-specific nuances.
• Compare and evaluate generative models (GANs, VAEs, Diffusion Models) for synthetic medical image generation, selecting the most suitable based on use case.
• Design scalable GenAI systems for generating synthetic patient records with built-in HIPAA compliance and data anonymization.
• Fine-tune pre-trained LLMs for domain-specific applications such as drug discovery, clinical trial summarization, and medical literature analysis.
• Develop strategies to mitigate hallucinations in LLMs, especially for clinical decision support systems.

System Architecture & Integration :

Design GenAI-powered platforms that integrate seamlessly with existing EHR systems, supporting real-time inference and secure data exchange. Define and implement APIs for GenAI services optimized for multi-cloud and hybrid environments, ensuring scalability and interoperability. Ensure robust model versioning, traceability, and reproducibility in compliance with regulatory standards.

MLOps & Deployment :

Required Skills & Qualifications :